Amir Khalilian

About me

Hello! In September 2022, I finshed my Ph.D. in Electrical and Computer Engineering and started my postdoc journy at NYU Langone Neurology Department. Broadly, my interests include numerical optimization, signal processing, machine learning, and data analysis. Here, I post about topics related to my research and some other miscellaneous readings!

News

September 2022: "A Corollary Discharge Circuit in Human Speech", Preprint posted on bioRxiv.

May 2022: "Gabor is Enough: Interpretable Deep Denoising with a Gabor Synthesis Dictionary Prior" accepted for presentation at 2022 IEEE Image, Video, and Multidimensional Signal Processing Workshop (IVMSP).

May 2022: "CDLNet: Noise-Adaptive Convolutional Dictionary Learning Network for Blind Denoising and Demosaicing" accepted for publication in IEEE Open Journal of Signal Processing.

Recent blog posts

This model provides the means to separate the data into two classes ...

We forgo the additive assumption and instead propose a formulation of an overlaying model, which acknowledges that the foreground object is overlaid on top of the background and is occluding it ...

We present an automatic pipeline designed to detect and correct striping artifacts while minimally degrading the unknown artifact-free image ...

Scanning acoustic microscopy (SAM) is an imaging modality used to obtain 2D maps of acoustical and mechanical properties of soft tissues and uses ultrasound transducers operating at very high-frequencies. ...